Sarah Pratt

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 181 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 102 citations into it
• Artificial Intelligence — 99 citations into it
• Multimodal Learning — 21 citations into it
• Large Language Models — 17 citations into it
• Prompting & Reasoning — 16 citations into it
• Safety, Robustness & Interpretability — 11 citations into it

Whom Sarah Pratt trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Kaiming He
5. Yoshua Bengio
6. Ilya Sutskever
7. Lloyd S. Shapley
8. Yann LeCun
9. Ross B. Girshick
10. Karen Simonyan

Who trusts Sarah Pratt overall

1. Jingyi Zhang
2. Renrui Zhang
3. Jiaxing Huang
4. Sachit Menon

Papers from Sarah Pratt's perspective

Ordered by how strongly the researchers Sarah Pratt trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• DataComp: In search of the next generation of multimodal datasets (2023) — 734 citations
• What does a platypus look like? Generating customized prompts for zero-shot image classification (2022) — 367 citations